Full Stack AI Engineer

Join AiMi and build the future of Capital Markets InfrastructureAt AiMi, we are revolutionising the management of critical trading and market data infrastructure through AI-driven automation. By leveraging advanced technologies, we replace manual, static processes with dynamic, data-driven workflows that enable organisations to achieve greater efficiency, agility, and control.We operate at the cutting edge of agentic AI - deploying autonomous agents that ingest venue and vendor notifications, assess impact across client infrastructure, and drive change management workflows in real time. If you're technically strong, AI-curious, and want to ship meaningful work on a live production platform, we want you on the team!TasksWhat you’ll do:As an AI Software Engineer, you will work across the full stack of the AiMi platform. Building and shipping features from intuitive front-end interfaces through to robust back-end services and the agentic AI workflows that sit at the heart of our product. You will own features end-to-end, contribute directly to our agent pipeline, and play an active role in shaping how we build software as a team.Key responsibilities include:Build and ship new features and functionality that directly serve our clients: across back-end services, agentic workflows, and integrations that power the platform.Contribute to the development and continuous improvement of our agentic AI pipeline, translating complex capital markets workflows into reliable, production-grade agent behaviourDesign, build, and maintain skills, connectors, and MCP-based integrations that extend the capabilities of AiMi agents — connecting to client systems, internal tooling, and third-party platformsContribute to agent evaluation - designing and running evals that assess agent accuracy, reliability, and behaviour across real-world workflows, and using those insights to drive continuous improvementParticipate in agentic SDLC practices: spec-driven development as part of day-to-day engineering workflowBuild and maintain robust back-end services container and serverless based services and APIs in Node.js , with a working understanding of our React/TypeScript front-end codebaseImprove LLM observability and traceability across the agent pipeline to monitor, evaluate, and iterate on agent performanceWork across the full stack: React/TypeScript front-end, Node.js back-end services, and AWS Lambda - to deliver well-tested, maintainable code and scalable services.RequirementsWhat we’re looking for4 to 7 years of hands-on full stack development experienceSolid back-end development experience in Node.js, with experience building and consuming RESTful APIsPractical experience working with LLMs, agent frameworks, or AI automation tooling: Mastra, LangChain, LlamaIndex, Claude, OpenAI or similarFamiliarity with agentic SDLC practices and spec-driven development workflows (Claude Code, Cursor, CodeRabbit, or similar)Working knowledge of AWS cloud services - Lambda, Bedrock, DynamoDB, S3, Cognito, API Gateway, CloudWatchExperience with MongoDB and DynamoDB (or equivalent NoSQL databases)Solid understanding of event-driven architecture patternsComfortable with testing at multiple levels - unit, integration, and E2E - and a genuine commitment to developer led testing approachesFamiliarity with CI/CD workflows, GitHub Actions, and version control best practicesA pragmatic, ownership-driven mindset with the ability to work independently in a remote, fast-paced environmentClear written communication skills - important for async collaboration and for working within our spec-driven development processGood to haveDomain knowledge in capital markets, trading infrastructure, market data, or financial servicesExperience with LLM observability tooling such as Langfuse, Helicone, or similarFamiliarity with streaming architectures and server-sent events (SSE)Exposure to PostHog or other feature flag and analytics toolingBenefitsWhat you’ll gainHands-on experience building and shipping production-grade agentic AI in a live finanical markets platform.Deep exposure to modern AI engineering, LLM evaluation, agent observability, prompt engineering, and agentic SDLC practices as part of daily work.Direct involvement in architectural decisions at an early-stage, fast-moving startup. Your work will have real, visible impact.Practical insight into capital markets infrastructure and trading operations.Opportunity to grow into a senior or lead engineering role as AiMi grows.Collaborative, remote-first team culture with a strong engineering discipline.Let’s Go!If you’re excited to be part of a forward-thinking company at the intersection of finance and technology, we’d love to hear from you. Apply now and help shape the future of AiMi!Originally posted on Himalayas